Social distancing has been suggested as one of the effective measures to break the chain of
viral transmission in the ongoing COVID-19 pandemic. We herein describe a computer …

Surveillance-related datasets that have been released in recent years focus only on one
specific problem at a time (eg, pedestrian detection, face detection, or face recognition) …

Despite the widespread deployment of outdoor cameras, their potential for automated
analysis remains largely untapped due, in part, to calibration challenges. The absence of …

Cameras are everywhere, and are increasingly coupled with video analytics software that
can identify our face, track our mood, recognize what we are doing, and more. We present …

The increased adoption of smart home cameras (SHCs) foregrounds issues of surveillance,
power, and privacy in homes and neighborhoods. However, questions remain about how …

In the aftermath of the 15 April 2013 Boston Marathon bombing, investigators found
themselves with massive amounts of data from surveillance video cameras, but they …

In large-scale surveillance of urban or rural areas, an effective placement of cameras is
critical in maximizing surveillance coverage or minimizing economic cost of cameras …

Transportation agencies often own extensive networks of monocular traffic cameras, which
are typically used for traffic monitoring. However, the information captured by such cameras …

Social distancing has been suggested as one of the most effective measures to break the
chain of viral transmission in the current COVID-19 pandemic. We herein describe a …

Small, low-cost, wireless cameras are becoming increasingly commonplace making
surreptitious observation of people more difficult to detect. Previous work in detecting hidden …